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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Proteogenomic analysis of pathogenic yeast Cryptococcus neoformans using high resolution mass spectrometry
|
|---|---|
| Published in |
Clinical Proteomics, February 2014
|
| DOI | 10.1186/1559-0275-11-5 |
| Pubmed ID | |
| Authors |
Lakshmi Dhevi Nagarajha Selvan, Jyothi Embekkat Kaviyil, Raja Sekhar Nirujogi, Babylakshmi Muthusamy, Vinuth N Puttamallesh, Tejaswini Subbannayya, Nazia Syed, Aneesha Radhakrishnan, Dhanashree S Kelkar, Sartaj Ahmad, Sneha M Pinto, Praveen Kumar, Anil K Madugundu, Bipin Nair, Aditi Chatterjee, Akhilesh Pandey, Raju Ravikumar, Harsha Gowda, Thottethodi Subrahmanya Keshava Prasad |
| Abstract |
Cryptococcus neoformans, a basidiomycetous fungus of universal occurrence, is a significant opportunistic human pathogen causing meningitis. Owing to an increase in the number of immunosuppressed individuals along with emergence of drug-resistant strains, C. neoformans is gaining importance as a pathogen. Although, whole genome sequencing of three varieties of C. neoformans has been completed recently, no global proteomic studies have yet been reported. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Ph. D. Student | 8 | 21% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Professor > Associate Professor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 31% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Medicine and Dentistry | 5 | 13% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 August 2020.
All research outputs
#14,189,417
of 22,743,667 outputs
Outputs from Clinical Proteomics
#146
of 281 outputs
Outputs of similar age
#172,907
of 307,468 outputs
Outputs of similar age from Clinical Proteomics
#6
of 6 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.